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Titlebook: Advances in Data and Information Sciences; Proceedings of ICDIS Shailesh Tiwari,Munesh C. Trivedi,Brajesh Kumar Si Conference proceedings 2

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發(fā)表于 2025-3-30 09:28:51 | 只看該作者
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發(fā)表于 2025-3-30 14:02:11 | 只看該作者
Causation and Causation in Fiction,own considerably over the past decade, and their use has increased because of this growth. To take advantage of the widespread usage of spam, cybercriminals send it via email and online social networking sites and through a variety of other distribution channels. Phishing and email fraud are two iss
53#
發(fā)表于 2025-3-30 19:35:51 | 只看該作者
https://doi.org/10.1007/978-3-8349-3718-6ies have also recognized and acknowledged this reality. In addition, with the suitable process alignment and control, changing or evolving requirements could be efficiently solved and managed for satisfying the project stakeholders through agile method. Hence, this study attempts to review requireme
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發(fā)表于 2025-3-30 23:32:17 | 只看該作者
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發(fā)表于 2025-3-31 03:54:45 | 只看該作者
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發(fā)表于 2025-3-31 05:51:18 | 只看該作者
A Puzzle About Ontological Commitment linear and nonlinear regression, have been established. However, these models demand hard empirical work to evolve and can contribute erroneous results when the relationships between actual properties and mixture composition and curing conditions are complex. Several machine learning (ML) models of
57#
發(fā)表于 2025-3-31 12:25:30 | 只看該作者
Locke’s Ideas, Abstraction, and Substancebility of the news. Because of the growth of online social media, fake information does have a significant impact on society. Twitter is one of the social media platforms which is often used to propagate fake information during election campaigning. This work suggests an approach that can detect fak
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發(fā)表于 2025-3-31 14:43:46 | 只看該作者
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發(fā)表于 2025-3-31 21:01:39 | 只看該作者
60#
發(fā)表于 2025-4-1 00:07:29 | 只看該作者
https://doi.org/10.1007/978-3-030-20461-7ciences. Coronavirus has expanded massively, and it is among the one of the most frightful and dangerous infection in latest years. The deadly virus was found in China first, and then, it mutated throughout the world. Hence, automated illness identification provides results that are uniform and quic
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